mirror of
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feat: implement AI insights service and settings tab
Add core insight service and IPC handlers; update config and settings page. Co-authored-by: Jason <159670257+Jasonzhu1207@users.noreply.github.com>
This commit is contained in:
v0
491
electron/services/insightService.ts
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491
electron/services/insightService.ts
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@@ -0,0 +1,491 @@
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/**
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* insightService.ts
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*
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* AI 见解后台服务：
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* 1. 监听 DB 变更事件（debounce 500ms 防抖，避免开机/重连时爆发大量事件阻塞主线程）
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* 2. 沉默联系人扫描（独立 setInterval，每 4 小时一次）
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* 3. 触发后拉取真实聊天上下文（若用户授权），组装 prompt 调用单一 AI 模型
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* 4. 输出 ≤80 字见解，通过现有 showNotification 弹出右下角通知
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*
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* 设计原则：
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* - 不引入任何额外 npm 依赖，使用 Node 原生 https 模块调用 OpenAI 兼容 API
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* - 所有失败静默处理，不影响主流程
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* - 当日触发记录（sessionId + 时间列表）随 prompt 一起发送，让模型自行判断是否克制
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*/
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import https from 'https'
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import http from 'http'
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import { URL } from 'url'
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import { ConfigService } from './config'
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import { chatService } from './chatService'
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import { showNotification } from '../windows/notificationWindow'
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// ─── 常量 ────────────────────────────────────────────────────────────────────
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/** DB 变更防抖延迟（毫秒） */
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const DB_CHANGE_DEBOUNCE_MS = 500
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/** 沉默扫描间隔（毫秒），4 小时 */
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const SILENCE_SCAN_INTERVAL_MS = 4 * 60 * 60 * 1000
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/** 首次沉默扫描延迟（毫秒），避免启动期间抢占资源 */
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const SILENCE_SCAN_INITIAL_DELAY_MS = 3 * 60 * 1000
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/** 单次 API 请求超时（毫秒） */
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const API_TIMEOUT_MS = 45_000
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/** 最大上下文消息数（授权发送真实上下文时） */
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const MAX_CONTEXT_MESSAGES = 40
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/** 沉默天数阈值默认值 */
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const DEFAULT_SILENCE_DAYS = 3
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// ─── 类型 ────────────────────────────────────────────────────────────────────
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interface TodayTriggerRecord {
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/** 该会话今日触发的时间戳列表（毫秒） */
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timestamps: number[]
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}
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interface InsightResult {
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sessionId: string
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displayName: string
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insight: string
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}
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// ─── 工具函数 ─────────────────────────────────────────────────────────────────
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/**
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* 绝对拼接 baseUrl 与路径，避免 Node.js URL 相对路径陷阱。
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*
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* 例如：
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* baseUrl = "https://api.ohmygpt.com/v1"
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* path = "/chat/completions"
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* 结果为 "https://api.ohmygpt.com/v1/chat/completions"
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*
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* 如果 baseUrl 末尾没有斜杠，直接用字符串拼接（而非 new URL(path, base)），
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* 因为 new URL("chat/completions", "https://api.example.com/v1") 会错误地
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* 丢弃 v1，变成 https://api.example.com/chat/completions。
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*/
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function buildApiUrl(baseUrl: string, path: string): string {
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const base = baseUrl.replace(/\/+$/, '') // 去掉末尾斜杠
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const suffix = path.startsWith('/') ? path : `/${path}`
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return `${base}${suffix}`
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}
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function getStartOfDay(date: Date = new Date()): number {
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const d = new Date(date)
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d.setHours(0, 0, 0, 0)
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return d.getTime()
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}
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function formatTimestamp(ts: number): string {
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return new Date(ts).toLocaleTimeString('zh-CN', { hour: '2-digit', minute: '2-digit' })
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}
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/**
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* 调用 OpenAI 兼容 API（非流式），返回模型第一条消息内容。
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* 使用 Node 原生 https/http 模块，无需任何第三方 SDK。
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*/
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function callApi(
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apiBaseUrl: string,
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apiKey: string,
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model: string,
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messages: Array<{ role: string; content: string }>,
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timeoutMs: number = API_TIMEOUT_MS
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): Promise<string> {
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return new Promise((resolve, reject) => {
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const endpoint = buildApiUrl(apiBaseUrl, '/chat/completions')
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let urlObj: URL
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try {
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urlObj = new URL(endpoint)
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} catch (e) {
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reject(new Error(`无效的 API URL: ${endpoint}`))
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return
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}
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const body = JSON.stringify({
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model,
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messages,
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max_tokens: 200,
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temperature: 0.7,
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stream: false
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})
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const options: https.RequestOptions = {
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hostname: urlObj.hostname,
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port: urlObj.port || (urlObj.protocol === 'https:' ? 443 : 80),
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path: urlObj.pathname + urlObj.search,
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Content-Length': Buffer.byteLength(body),
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Authorization: `Bearer ${apiKey}`
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}
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}
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const transport = urlObj.protocol === 'https:' ? https : http
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const req = (transport as typeof https).request(options, (res) => {
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let data = ''
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res.on('data', (chunk) => { data += chunk })
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res.on('end', () => {
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try {
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const parsed = JSON.parse(data)
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const content = parsed?.choices?.[0]?.message?.content
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if (typeof content === 'string' && content.trim()) {
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resolve(content.trim())
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} else {
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reject(new Error(`API 返回格式异常: ${data.slice(0, 200)}`))
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}
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} catch (e) {
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reject(new Error(`JSON 解析失败: ${data.slice(0, 200)}`))
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}
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})
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})
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req.setTimeout(timeoutMs, () => {
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req.destroy()
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reject(new Error('API 请求超时'))
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})
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req.on('error', (e) => reject(e))
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req.write(body)
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req.end()
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})
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}
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// ─── InsightService 主类 ──────────────────────────────────────────────────────
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class InsightService {
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private readonly config: ConfigService
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/** DB 变更防抖定时器 */
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private dbDebounceTimer: NodeJS.Timeout | null = null
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/** 沉默扫描定时器 */
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private silenceScanTimer: NodeJS.Timeout | null = null
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private silenceInitialDelayTimer: NodeJS.Timeout | null = null
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/** 是否正在处理中（防重入） */
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private processing = false
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/**
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* 当日触发记录：sessionId -> TodayTriggerRecord
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* 每天 00:00 之后自动重置（通过检查日期实现）
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*/
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private todayTriggers: Map<string, TodayTriggerRecord> = new Map()
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private todayDate = getStartOfDay()
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private started = false
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constructor() {
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this.config = ConfigService.getInstance()
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}
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// ── 公开 API ────────────────────────────────────────────────────────────────
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start(): void {
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if (this.started) return
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this.started = true
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console.log('[InsightService] 已启动')
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this.scheduleSilenceScan()
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}
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stop(): void {
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this.started = false
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if (this.dbDebounceTimer) { clearTimeout(this.dbDebounceTimer); this.dbDebounceTimer = null }
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if (this.silenceScanTimer) { clearInterval(this.silenceScanTimer); this.silenceScanTimer = null }
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if (this.silenceInitialDelayTimer) { clearTimeout(this.silenceInitialDelayTimer); this.silenceInitialDelayTimer = null }
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console.log('[InsightService] 已停止')
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}
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/**
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* 由 main.ts 在 addDbMonitorListener 回调中调用。
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* 加入 500ms 防抖，防止开机/重连时大量事件并发阻塞主线程。
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*/
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handleDbMonitorChange(_type: string, _json: string): void {
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if (!this.started) return
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if (!this.isEnabled()) return
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if (this.dbDebounceTimer) clearTimeout(this.dbDebounceTimer)
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this.dbDebounceTimer = setTimeout(() => {
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this.dbDebounceTimer = null
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void this.analyzeRecentActivity()
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}, DB_CHANGE_DEBOUNCE_MS)
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}
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/**
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* 测试 API 连接，返回 { success, message }。
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* 供设置页"测试连接"按钮调用。
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*/
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async testConnection(): Promise<{ success: boolean; message: string }> {
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const apiBaseUrl = this.config.get('aiInsightApiBaseUrl') as string
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const apiKey = this.config.get('aiInsightApiKey') as string
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const model = (this.config.get('aiInsightApiModel') as string) || 'gpt-4o-mini'
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if (!apiBaseUrl || !apiKey) {
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return { success: false, message: '请先填写 API 地址和 API Key' }
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}
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try {
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const result = await callApi(
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apiBaseUrl,
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apiKey,
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model,
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[{ role: 'user', content: '请回复"连接成功"四个字。' }],
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15_000
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)
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return { success: true, message: `连接成功，模型回复：${result.slice(0, 50)}` }
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} catch (e) {
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return { success: false, message: `连接失败：${(e as Error).message}` }
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}
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}
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/** 获取今日触发统计（供设置页展示） */
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getTodayStats(): { sessionId: string; count: number; times: string[] }[] {
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this.resetIfNewDay()
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const result: { sessionId: string; count: number; times: string[] }[] = []
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for (const [sessionId, record] of this.todayTriggers.entries()) {
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result.push({
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sessionId,
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count: record.timestamps.length,
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times: record.timestamps.map(formatTimestamp)
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})
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}
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return result
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}
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// ── 私有方法 ────────────────────────────────────────────────────────────────
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private isEnabled(): boolean {
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return this.config.get('aiInsightEnabled') === true
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}
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private resetIfNewDay(): void {
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const todayStart = getStartOfDay()
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if (todayStart > this.todayDate) {
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this.todayDate = todayStart
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this.todayTriggers.clear()
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}
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}
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/**
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* 记录触发并返回该会话今日所有触发时间（用于组装 prompt）。
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*/
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private recordTrigger(sessionId: string): string[] {
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this.resetIfNewDay()
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const existing = this.todayTriggers.get(sessionId) ?? { timestamps: [] }
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existing.timestamps.push(Date.now())
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this.todayTriggers.set(sessionId, existing)
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return existing.timestamps.map(formatTimestamp)
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}
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/**
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* 获取今日全局已触发次数（所有会话合计），用于 prompt 中告知模型全局上下文。
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*/
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private getTodayTotalTriggerCount(): number {
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this.resetIfNewDay()
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let total = 0
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for (const record of this.todayTriggers.values()) {
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total += record.timestamps.length
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}
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return total
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}
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// ── 沉默联系人扫描 ──────────────────────────────────────────────────────────
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private scheduleSilenceScan(): void {
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// 延迟 3 分钟后首次扫描，之后每 4 小时一次
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this.silenceInitialDelayTimer = setTimeout(() => {
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void this.runSilenceScan()
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this.silenceScanTimer = setInterval(() => {
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void this.runSilenceScan()
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}, SILENCE_SCAN_INTERVAL_MS)
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}, SILENCE_SCAN_INITIAL_DELAY_MS)
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}
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private async runSilenceScan(): Promise<void> {
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if (!this.isEnabled()) return
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if (this.processing) return
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this.processing = true
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try {
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const silenceDays = (this.config.get('aiInsightSilenceDays') as number) || DEFAULT_SILENCE_DAYS
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const thresholdMs = silenceDays * 24 * 60 * 60 * 1000
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const now = Date.now()
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const connectResult = await chatService.connect()
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if (!connectResult.success) return
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const sessionsResult = await chatService.getSessions()
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if (!sessionsResult.success || !sessionsResult.sessions) return
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const sessions = sessionsResult.sessions as any[]
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for (const session of sessions) {
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const sessionId = String(session.username || '').trim()
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if (!sessionId || sessionId.endsWith('@chatroom')) continue // 跳过群聊
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if (sessionId.toLowerCase().includes('placeholder')) continue
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const lastTimestamp = Number(session.lastTimestamp || 0) * (String(session.lastTimestamp).length <= 10 ? 1000 : 1)
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if (!lastTimestamp || lastTimestamp <= 0) continue
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const silentMs = now - lastTimestamp
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if (silentMs < thresholdMs) continue
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// 沉默时间满足阈值，触发见解
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await this.generateInsightForSession({
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sessionId,
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displayName: session.displayName || session.username,
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triggerReason: 'silence',
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silentDays: Math.floor(silentMs / (24 * 60 * 60 * 1000))
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})
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}
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} catch (e) {
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console.warn('[InsightService] 沉默扫描出错:', e)
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} finally {
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this.processing = false
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}
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}
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// ── 活跃会话分析 ────────────────────────────────────────────────────────────
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/**
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* 在 DB 变更防抖后执行，分析最近活跃的会话，
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* 判断是否有有趣的上下文值得产出见解。
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*/
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private async analyzeRecentActivity(): Promise<void> {
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if (!this.isEnabled()) return
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if (this.processing) return
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this.processing = true
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try {
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const connectResult = await chatService.connect()
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if (!connectResult.success) return
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const sessionsResult = await chatService.getSessions()
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if (!sessionsResult.success || !sessionsResult.sessions) return
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const sessions = sessionsResult.sessions as any[]
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// 只取最近有活动的前 5 个会话（排除群聊以降低噪音，可按需调整）
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const candidates = sessions
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.filter((s) => {
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const id = String(s.username || '').trim()
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return id && !id.endsWith('@chatroom') && !id.toLowerCase().includes('placeholder')
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})
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.slice(0, 5)
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for (const session of candidates) {
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await this.generateInsightForSession({
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sessionId: String(session.username || '').trim(),
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displayName: session.displayName || session.username,
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triggerReason: 'activity'
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})
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}
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} catch (e) {
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console.warn('[InsightService] 活跃分析出错:', e)
|
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} finally {
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this.processing = false
|
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}
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}
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// ── 核心见解生成 ────────────────────────────────────────────────────────────
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private async generateInsightForSession(params: {
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sessionId: string
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displayName: string
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triggerReason: 'activity' | 'silence'
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silentDays?: number
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}): Promise<void> {
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const { sessionId, displayName, triggerReason, silentDays } = params
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if (!sessionId) return
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const apiBaseUrl = this.config.get('aiInsightApiBaseUrl') as string
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const apiKey = this.config.get('aiInsightApiKey') as string
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const model = (this.config.get('aiInsightApiModel') as string) || 'gpt-4o-mini'
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const allowContext = this.config.get('aiInsightAllowContext') as boolean
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|
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if (!apiBaseUrl || !apiKey) return
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|
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// ── 构建 prompt ──────────────────────────────────────────────────────────
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|
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// 今日触发统计（让模型具备时间与克制感）
|
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const sessionTriggerTimes = this.recordTrigger(sessionId)
|
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const totalTodayTriggers = this.getTodayTotalTriggerCount()
|
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let contextSection = ''
|
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if (allowContext) {
|
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try {
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const msgsResult = await chatService.getLatestMessages(sessionId, MAX_CONTEXT_MESSAGES)
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if (msgsResult.success && msgsResult.messages && msgsResult.messages.length > 0) {
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const msgLines = (msgsResult.messages as any[]).map((m) => {
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const sender = m.isSend === 1 ? '我' : (displayName || sessionId)
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const content = m.rawContent || m.parsedContent || '[非文字消息]'
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const time = new Date(Number(m.createTime) * 1000).toLocaleString('zh-CN')
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return `[${time}] ${sender}：${content}`
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})
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contextSection = `\n\n近期对话记录（最近 ${msgLines.length} 条）：\n${msgLines.join('\n')}`
|
||||
}
|
||||
} catch (e) {
|
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console.warn('[InsightService] 拉取上下文失败:', e)
|
||||
}
|
||||
}
|
||||
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const triggerDesc =
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||||
triggerReason === 'silence'
|
||||
? `你已经 ${silentDays} 天没有和「${displayName}」聊天了。`
|
||||
: `你最近和「${displayName}」有新的聊天动态。`
|
||||
|
||||
const todayStatsDesc =
|
||||
sessionTriggerTimes.length > 1
|
||||
? `今天你已经针对「${displayName}」收到过 ${sessionTriggerTimes.length - 1} 条见解（时间：${sessionTriggerTimes.slice(0, -1).join('、')}），请适当克制，避免过度打扰。`
|
||||
: `今天你还没有针对「${displayName}」发出过见解。`
|
||||
|
||||
const globalStatsDesc = `今天全部联系人合计已触发 ${totalTodayTriggers} 条见解。`
|
||||
|
||||
const systemPrompt = `你是用户的私人关系观察助手，名叫"见解"。你的任务是：
|
||||
1. 根据提供的聊天上下文（如有），给出真正有洞察力、有价值的简短见解或建议。
|
||||
2. 严格控制输出在 80 字以内，直接、具体、一针见血。不要废话，不要寒暄。
|
||||
3. ${todayStatsDesc} ${globalStatsDesc} 如果今日触发已经较多，请考虑是否真的有必要此时发出。若没有新意，可以直接回复"SKIP"表示跳过。
|
||||
4. 若提供了聊天记录，请基于真实内容分析，而非泛泛而谈。
|
||||
5. 输出纯文本，不使用 Markdown 格式符号。`
|
||||
|
||||
const userPrompt = `触发原因：${triggerDesc}${contextSection}
|
||||
|
||||
请给出你的见解（≤80字）或回复 SKIP 跳过：`
|
||||
|
||||
try {
|
||||
const result = await callApi(
|
||||
apiBaseUrl,
|
||||
apiKey,
|
||||
model,
|
||||
[
|
||||
{ role: 'system', content: systemPrompt },
|
||||
{ role: 'user', content: userPrompt }
|
||||
]
|
||||
)
|
||||
|
||||
// 模型主动选择跳过
|
||||
if (result.trim().toUpperCase() === 'SKIP' || result.trim().startsWith('SKIP')) {
|
||||
console.log(`[InsightService] 模型选择跳过 ${sessionId}`)
|
||||
return
|
||||
}
|
||||
|
||||
const insight = result.slice(0, 120) // 防止超长截断
|
||||
|
||||
// 通过现有 showNotification 推送弹窗
|
||||
await showNotification({
|
||||
sessionId,
|
||||
sourceName: `见解 · ${displayName}`,
|
||||
content: insight,
|
||||
isInsight: true // 可用于通知窗口做差异化展示
|
||||
})
|
||||
|
||||
console.log(`[InsightService] 已为 ${sessionId} 推送见解`)
|
||||
} catch (e) {
|
||||
console.warn(`[InsightService] API 调用失败 (${sessionId}):`, (e as Error).message)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
export const insightService = new InsightService()
|
||||
Reference in New Issue
Block a user